3 months ago
London, United KingdomStaff+
Responsibilities
- Build and operate scalable machine-learning and data systems, simulation workflows, and insight tools for driver evaluation and training
- Advance ultra-realistic autonomous-vehicle simulations using foundation models
- Collaborate with Waymo Oxford and other teams to improve simulation realism with large models
- Design experiments and develop metrics for measuring the realism of simulated worlds
- Train and evaluate large models and integrate them into simulators and downstream applications
- Productionize research ideas and help hire research engineers from diverse backgrounds
Requirements
- 7+ years of experience in applied deep learning
- 7+ years of coding and design experience
- At least 1 year of people-management experience
- Experience solving complex production problems using state-of-the-art machine-learning techniques
- Experience taking research into production
- Expertise in data analysis or data science
Benefits
- Hybrid work arrangement in London, UK
- Eligibility for a discretionary annual bonus program
- Equity incentive plan
- Generous company benefits program
Categories
AI ResearchML Engineering
About Waymo
Waymo develops the Waymo Driver, a full-stack autonomous driving system, and operates the Waymo One robotaxi service that offers paid, driverless rides in select U.S. cities. The company monetizes through ride-hailing fares and partnerships integrating its technology on multiple vehicle platforms. Founded in 2009 as Google’s self-driving project, Waymo is headquartered in Mountain View and is an Alphabet subsidiary, with over 10 million rider-only trips and 100+ million autonomous miles on public roads.